细节 发表于 2025-3-26 22:51:39
Edge Features Enhanced Graph Attention Network for Relation Extractionthe relationship between different nodes in the full dependency tree. The results on various datasets show that our model utilizes the structural information of the dependency tree better and gets the state-of-the-art results.Mortar 发表于 2025-3-27 05:05:43
http://reply.papertrans.cn/55/5441/544039/544039_32.png创造性 发表于 2025-3-27 09:17:45
http://reply.papertrans.cn/55/5441/544039/544039_33.png忧伤 发表于 2025-3-27 11:07:26
http://reply.papertrans.cn/55/5441/544039/544039_34.pngServile 发表于 2025-3-27 16:59:51
http://reply.papertrans.cn/55/5441/544039/544039_35.pngexhibit 发表于 2025-3-27 20:28:28
Event-centric Tourism Knowledge Graph—A Case Study of Hainandations, question answering and so on. However, traditional tourism knowledge graph is a knowledge base which focuses on the static facts about entities, such as hotels, attractions, while ignoring events or activities of tourists’ trips and temporal relations..In this paper, we first propose an Eve颂扬本人 发表于 2025-3-27 23:34:01
http://reply.papertrans.cn/55/5441/544039/544039_37.pnginhibit 发表于 2025-3-28 03:33:54
Graph Embedding Based on Characteristic of Rooted Subgraph Structure, a graph embedding model based on structural characteristics of rooted subgraphs is proposed in this paper. This model, based on the distributed representation model of the graph, has modified its original random walk process and converted it to a random walk with weight bias based on structural siImmunotherapy 发表于 2025-3-28 07:41:07
http://reply.papertrans.cn/55/5441/544039/544039_39.png单挑 发表于 2025-3-28 12:22:48
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